Thursday, April 1, 2021

Simple Covid Math

Are you good at math?

Here's a simple exercise.

As of March 29, VAERS received over 2,500 reports of death among Americans who received the experimental covid injection.

It's well known that vaccine injuries are significantly underreported. In fact, it's estimated that only one percent of all adverse reactions ever get reported to VAERS.

If that estimation is accurate, then it's reasonable to assume that there have been well over 250,000 deaths from this experimental product so far, in the first 3.5 months alone.

That's a rate of 71,500 deaths per month. It's reasonable to speculate that the coming months will follow the same trajectory. By the end a full year of mass-injecting the population, there will likely be over 858,000 deaths.

The disease that this product purports to protect against has allegedly resulted in some 535,000 deaths since the beginning of the outbreak one year ago.

The CDC admitted that 94% of all reported covid deaths had on average 2.5 comorbidities.

That means that only 32,100 deaths listed covid as the only cause of death (i.e. 6% of 535K).

If these numbers are accurate, then here's a breakdown of the comparative risk factor:

Someone who has underlying medical conditions has a 60% greater chance of dying from the experimental injection than from covid itself, since 858,000 is 1.6 times greater than 535,000.

Someone who has no underlying medical conditions may have nearly 27 times greater chances of dying from the injection than from the disease!

Furthermore, we were told from the beginning of this alleged pandemic that this particular coronavirus is HIGHLY contagious. If you recall, the stated objective for what was originally touted as a fourteen-day lockdown was supposedly just to "flatten the curve," but we were promised that everyone would ultimately get exposed to it. Assuming their logic was accurate, it's fair to assume that the overwhelming majority of Americans have already been exposed to this disease after an entire year of many millions of reported cases nationwide.

Consequently, if you are alive today and have lived in the US for the past twelve months, you likely were exposed to covid already and survived. Congratulations!

Your chances of dying from future variants of this virus are undoubtedly far less than the alleged .16% death rate out of the total US population (assuming 858,000 out of 332,410,000), since you have likely already been exposed to covid and are still alive to tell the tale.

Your chances of dying from the covid injection is far greater.

The CDC claims that the current death rate from the experimental injection is .0017%, based on the 2,509 reported deaths. However, as we stated above, VAERS represents a mere one percent of all vaccine injuries. That means the actual death rate from the number of people injected so far is closer to .17%.

Of course, only 15% of the US population have received both injections, and only 29% of the population received any injection at all. Conversely, it's fair to assume that 99.9 percent of all Americans have already been exposed to the coronavirus at some point during this year.

So it's incorrect to compare a.17% death rate from the injection to a .16% death rate from the disease, since if you are alive today, you are mostly likely among the 99.84% who was exposed to covid and survived. In effect, your risk from covid is far less than .16%, and your risk from the experimental injection is completely unknown.

Moreover, the current VAERS data only reflects short-term risks associated with this novel mRNA technology. No one knows the long-term risks.

Also, none of the above reflects the presumptive risk of repetitive multiple injections, since the two injections will need to be repeated every six months, and there is already discussion of the possibility for a third dose.

So there you have it, folks.

No matter how you crunch the numbers, the odds don't seem to favor injection versus infection.

Stay safe out there, folks. Decline experimental injections.


Herk said...

Excellent post. Excellent observations, and biting conclusions. Even the "cooked" official numbers can't hide the truth.

Herk said...

Speaking of math, those interested might enjoy the following:

(1) "The Hidden Truth Behind the Too-Good-To-Be True COVID-19 Vaccines: An Interview with Dr. Ronald B. Brown, PhD"


(2) Dr. Brown's study, "Outcome Reporting Bias in COVID-19 mRNA Vaccine Clinical Trials"

What's "Too-Good-To-Be True" are the misleading efficacy claims reported by the "vaccine" manufacturers.

In article #1 above, Dr. Brown states:
"The reduced risk of COVID-19 infection reported by the manufacturers is approximately 95%, which is an accurate relative risk reduction measure. However, missing from the vaccine reports are absolute risk reduction measures which are much more clinically relevant to the reduced risk of COVID-19 infection. The absolute risk reduction of the vaccines in the present critical appraisal is approximately 1%, indicating practically no clinical efficacy or usefulness of the vaccines to reduce COVID-19 infection."